How 'junk DNA' can control cell development

Researchers from the Gene and Stem Cell Therapy Program at Sydney's Centenary Institute have confirmed that, far from being "junk", the 97 per cent of human DNA that does not encode instructions for making proteins can play ...

Scientists decode newly sequenced strawberry genome

An international research consortium has sequenced the genome of the woodland strawberry, according to a study published in the Dec. 26 advance online edition of the journal Nature Genetics. The development is expected to ...

Web-based tools, called 'Galaxy,' simplify genomic analysis

With tremendous advances in DNA sequencing and the advent of microarray technology in the 1990s, biology embarked on a new age of discovery. Researchers suddenly had access to unprecedented amounts of data -- and faced unprecedented ...

Web interface defines new paradigm for life science data-sharing

A new lightweight web service interface for accessing massive amounts of life science research data across multiple public and private domains has been developed by researchers at RIKEN, Japan's flagship research institute. ...

'Condor' brings genome assembly down to Earth

(PhysOrg.com) -- Borrowing computing power from idle sources will help geneticists sidestep the multimillion-dollar cost of reconstituting the flood of data produced by next-generation genome-sequencing machines.

page 1 from 3

Bioinformatics

Bioinformatics i/ˌbaɪ.oʊˌɪnfərˈmætɪks/ is the application of computer science and information technology to the field of biology and medicine. Bioinformatics deals with algorithms, databases and information systems, web technologies, artificial intelligence and soft computing, information and computation theory, software engineering, data mining, image processing, modeling and simulation, signal processing, discrete mathematics, control and system theory, circuit theory, and statistics, for generating new knowledge of biology and medicine, and improving & discovering new models of computation (e.g. DNA computing, neural computing, evolutionary computing, immuno-computing, swarm-computing, cellular-computing). Java, XML, Perl, C, C++, Python, R, SQL, CUDA and MATLAB are the some of the more prominent software technologies used in this field.

This text uses material from Wikipedia, licensed under CC BY-SA